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Ramya Korlakai Vinayak
Ramya Korlakai Vinayak
Assistant Professor, UW-Madison
Подтвержден адрес электронной почты в домене ece.wisc.edu - Главная страница
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Процитировано
Процитировано
Год
Crowdsourced Clustering: Querying Edges vs Triangles
RK Vinayak, B Hassibi
Advances in Neural Information Processing Systems, 2016
532016
Maximum likelihood estimation for learning populations of parameters
RK Vinayak, W Kong, G Valiant, S Kakade
International Conference on Machine Learning, 6448-6457, 2019
442019
Graph clustering with missing data: Convex algorithms and analysis
R Korlakai Vinayak, S Oymak, B Hassibi
Advances in Neural Information Processing Systems 27, 2014
422014
Sharp performance bounds for graph clustering via convex optimization
RK Vinayak, S Oymak, B Hassibi
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
222014
Similarity clustering in the presence of outliers: Exact recovery via convex program
RK Vinayak, B Hassibi
2016 IEEE International Symposium on Information Theory (ISIT), 91-95, 2016
142016
Estimating the number and effect sizes of non-null hypotheses
J Brennan, RK Vinayak, K Jamieson
International Conference on Machine Learning, 1123-1133, 2020
92020
Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics
Z Miao, W Kong, RK Vinayak, W Sun, F Han
Journal of the American Statistical Association, 1-13, 2022
72022
One for all: Simultaneous metric and preference learning over multiple users
G Canal, B Mason, RK Vinayak, R Nowak
arXiv e-prints, arXiv: 2207.03609, 2022
42022
Optimal Estimation of Change in a Population of Parameters
RK Vinayak, W Kong, SM Kakade
arXiv preprint arXiv:1911.12568, 2019
42019
Tensor-based crowdsourced clustering via triangle queries
RK Vinayak, T Zrnic, B Hassibi
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
42017
Learning Preference Distributions From Distance Measurements
G Tatli, R Nowak, RK Vinayak
2022 58th Annual Allerton Conference on Communication, Control, and …, 2022
32022
Clustering by comparison: Stochastic block model for inference in crowdsourcing
RK Vinayak, EDUB Hassibi, C EDU
Workshop machine learning and crowdsourcing, 2016
32016
Graph clustering: Algorithms, analysis and query design
RK Vinayak
California Institute of Technology, 2018
22018
Promises and Pitfalls of Threshold-based Auto-labeling
H Vishwakarma, H Lin, F Sala, R Korlakai Vinayak
Advances in Neural Information Processing Systems 36, 2024
12024
Good Data from Bad Models: Foundations of Threshold-based Auto-labeling
H Vishwakarma, H Lin, F Sala, RK Vinayak
arXiv preprint arXiv:2211.12620, 2022
12022
The illusion of change: Correcting for biases in change inference for sparse, societal-scale data
G Cadamuro, R Korlakai Vinayak, J Blumenstock, S Kakade, J Shapiro
The World Wide Web Conference, 2608-2615, 2019
12019
Unraveling The Impact of Training Samples
D Chen, J Zhang, RK Vinayak
The Third Blogpost Track at ICLR 2024, 2024
2024
Understanding Threshold-based Auto-labeling: The Good, the Bad, and the Terra Incognita
H Vishwakarma, H Lin, F Sala, R Vinayak
NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 2023
2023
Human-in-the-Loop Out-of-Distribution Detection with False Positive Rate Control
H Vishwakarma, H Lin, R Vinayak
NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 2023
2023
Crowdsourced Clustering via Active Querying: Practical Algorithm with Theoretical Guarantees
Y Chen, RK Vinayak, B Hassibi
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 11 …, 2023
2023
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